This paper proposes a novel method to retrieve binary images. In this method, partial features, defined as Regions and Aspects, are used to retrieve the desired images. By using these features, the similarities between an input image and the images in a database are computed. Based on the computed results, the desired image is obtained. Moreover, in the processes of obtaining the desired image, our method adopts training to reflect the user's subjectivity. The training assigns the weights for the significant Regions and Aspects based on the user's actions, such as selecting the desired image. These processes make the retrieval more effective. This paper also shows the effectiveness of the proposed method by several experiments.
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